Computer Science, Master's Programme, 120 credits
Computer Science, masterprogram, 120 hp
6MICS
Teaching language
EnglishCampus
LinköpingDegree
Master of Science (two years) with a major in Computer Science
Pace of study
Full-timePurpose
The Master's Programme in Computer Science aims to educate specialists who will be able to work at the forefront of modern software and computer systems technology in a variety of application areas. The programme also aims at ensuring that the students are well prepared for a career in research or continued studies towards a doctoral degree.
Computer science is one of the most dynamic and expansive fields of science. For the individual scholar or the professional in the field this means that, as well as having a good understanding of the theoretical and technical foundations of the field, one needs to be able to apply the technology to new challenging problems and integrate it with other technologies.
Aim
The Master's Programme in Computer Science offers the opportunity for advanced study in computer science and engineering and allows for flexible planning of specialization areas. Having covered core computer science courses, the students will be able to focus their studies on areas such as artificial intelligence, databases and data-mining, internet computing, embedded systems, information security, design and programming computer games, language technology, human-computer interaction, theoretical computer science or design and implementation of computer languages.
The following learning outcomes will serve as measurable goals towards the implementation of the general aim of the program. These objectives are formulated in terms of capacities competences of the students who successfully complete the program.
- A Computer Science master will be able to understand and apply mathematical concepts which are necessary for modelling various kinds of computational problems. He/She will have an understanding of both software and hardware issues.
- A Computer Science master will be a competent programmer who is familiar with a variety of programming languages and tools and is able to creatively apply his/her knowledge and skills to modelling and developing software solutions which contribute towards applications in a wide variety of application domains.
- The Computer Science master will be able to work as a team member and effectively cooperate with other specialists and contribute towards the solution of complex technical problems.
- The Computer Science master will be qualified to take a leading role in a software design and development team, evaluate and compare solutions, and decision making. He/She will be able to further deepen his/her knowledge and contribute to the development of the area.
- The Computer Science master will be a good communicator who will be able to present coherent technical and scientific results both orally and in writing.
- Students who successfully complete the programme will have a good understanding of the impact of computers in society, ethical issues relevant to the field, as well as the responsibilities of the computer science professionals.
- Although computer science enjoys a relatively stable scientific foundation, the field is still dynamic and expansive. An important aspect of educational programs in the field is to prepare the students for a lifelong learning in the field.
Content
The programme is based on fundamental mathematical, theoretical, and technical knowledge acquired by the student during his/her undergraduate education. This basic knowledge should cover programming in various languages and paradigms, algorithms, databases, system software, operating systems and mathematical knowledge which should include discrete mathematics, logic and statistics.
The Master's Programme in Computer Science is both theoretical and applied. A number of courses will provide the student with the broad view and understanding needed in order to master the general area. At the same time, a proper selection of courses allows for further specialisation.
Communication skills, presentation techniques (both oral and written), as well as team work, are emphasized during the whole program.
Each year the programme board decides what courses will be given and included in the programme. This is found in the curriculum. For each course there is a course syllabus, describing the learning outcomes, organisation, examination and the classification of the advancement level and to what subject area the course belongs. The course advancement level and subject area are important in fulfilling the requirements for the Master's degree.
Education profiles
The specialisation areas are visible in the syllabus. If a specialisation requirement is fulfilled the specialisation will be included in the Degree Certificate.
Specialisation areas in the programme include:
- Artificial Intelligence and Data Mining
- Visualization and Computer Graphics
- Computer Networks, Distributed Systems and Security
- Embedded Systems
- Programming and Software Methods
In order to meet the specialization requirement, 42hp of the elective courses in the degree must be within the specialization.
Entry requirements
- A bachelor's degree with a major in computer science, information technology, software engineering, computer engineering, alternatively, a bachelor's degree with a minor in computer science or related subject area, with a minimum of 60 ECTS credits in computer-related subjects (e.g. programming, data structures, databases, software engineering, computer hardware, computer networks).
- At least 24 ECTS credits in mathematics/applied mathematics and/or application of mathematics relevant for the programme including courses in discrete mathematics, linear algebra, calculus and mathematical statistics.
- English corresponding to the level of English in Swedish upper secondary education (English 6/B)
Degree thesis
The thesis encompasses independent work corresponding to 30 ECTS credits. The students are encouraged to carry out their thesis work in their specialisation area. Thesis work should be supervised by a faculty member within computer science and engineering.
Degree requirements
The programme is designed to give the Master's Degree "Teknologie masterexamen i datavetenskap" translated to "Master of Science (2 years) with a major in Computer Science".
The requirements are the following:
- a Bachelor's degree as specified in the entrance requirements.
- course requirements for a total of 120 ECTS credits from courses from the curriculum of the programme, or after special decision from the programme board, and thesis work.
- passed the requirements for all compulsory courses.
- courses on advancement level A (advanced) 90 ECTS credits including:
- at least 30 ECTS credits courses from the major subject of Computer Science.
- a 30 ECTS credits Master's Thesis in the major subject of Computer Science.
- at least 45 ECTS credits from courses in mathematics or applications of mathematics from the Bachelor level (basic) or Master level (advanced), see list of specific courses.
- a Master's thesis presented and passed as per Linköping Institute of Technology degree regulations.
Courses overlapping each other regarding contents are not allowed to be included in the degree. Courses used for the Bachelor's degree can never be included in the Master's degree.
Entrance requirements
See general rules and regulations for master programmes at LiTH.
About the Degree
Students who have studied advanced courses in computer science prior to the Master's programme can either transfer some of their credits to the programme or be allowed to substitute compulsory courses in the programme with other courses. Transferring credits is only applicable to earlier courses that have not been included in other degrees.
Degree in Swedish
Master of Science (120 credits) with a major in Computer Science.
Degree in English
Master of Science (two years) with a major in Computer Science
Specific information
Graduate Level Courses
Certain PhD courses can be taken by master students. These course selections are subject to formal decision by the executive committee of the Programme Board.
Common rules
See also common rules
Semester 1 Autumn 2017
Course code | Course name | Credits | Level | Timetable module | ECV | |
---|---|---|---|---|---|---|
Period 1 | ||||||
TDDD65 | Introduction to the Theory of Computation | 6* | G2X | 2 | C |
|
*The course is divided into several semesters and/or periods
|
||||||
TDDE18 | Programming C++ | 6* | G2X | 4 | C |
|
*The course is divided into several semesters and/or periods
|
||||||
TDDC17 | Artificial Intelligence | 6 | G2X | 3 | E |
|
TDTS06 | Computer Networks | 6 | G2X | 1 | E |
|
Period 2 | ||||||
TDDD65 | Introduction to the Theory of Computation | 6* | G2X | 1 | C |
|
*The course is divided into several semesters and/or periods
|
||||||
TDDE18 | Programming C++ | 6* | G2X | 3 | C |
|
*The course is divided into several semesters and/or periods
|
||||||
TDDD07 | Real Time Systems | 6 | A1X | 4 | E |
|
TDDD37 | Database Technology | 6 | G2X | 1 | E |
|
TDDE01 | Machine Learning | 6 | A1X | 1 | E |
|
TDTS08 | Advanced Computer Architecture | 6 | A1X | 2 | E |
|
TSIT02 | Computer Security | 6 | G2X | 2 | E |
|
Course code | Course name | Credits | Level | Timetable module | ECV | |
---|---|---|---|---|---|---|
Period 1 | ||||||
TDDC17 | Artificial Intelligence | 6 | G2X | 3 | E |
|
Period 2 | ||||||
TDDD37 | Database Technology | 6 | G2X | 1 | E |
|
TSIT02 | Computer Security | 6 | G2X | 2 | E |
|
Course code | Course name | Credits | Level | Timetable module | ECV | |
---|---|---|---|---|---|---|
Period 1 | ||||||
TDTS06 | Computer Networks | 6 | G2X | 1 | E |
|
Period 2 | ||||||
TSIT02 | Computer Security | 6 | G2X | 2 | E |
|
Course code | Course name | Credits | Level | Timetable module | ECV | |
---|---|---|---|---|---|---|
Period 2 | ||||||
TDDD07 | Real Time Systems | 6 | A1X | 4 | E |
|
TDTS08 | Advanced Computer Architecture | 6 | A1X | 2 | E |
|
Course code | Course name | Credits | Level | Timetable module | ECV | |
---|---|---|---|---|---|---|
Period 1 | ||||||
TDDC17 | Artificial Intelligence | 6 | G2X | 3 | E |
|
Semester 2 Spring 2018
Course code | Course name | Credits | Level | Timetable module | ECV | |
---|---|---|---|---|---|---|
Period 1 | ||||||
TATA54 | Number Theory | 6* | G2X | - | E |
|
*The course is divided into several semesters and/or periods
|
||||||
TATA64 | Graph Theory | 6* | A1X | 2 | E |
|
*The course is divided into several semesters and/or periods
The course is given every other year (odd years).
|
||||||
TBMI26 | Neural Networks and Learning Systems | 6 | A1X | 2 | E |
|
TDDB68 | Concurrent Programming and Operating Systems | 6 | G2X | 3 | E |
|
TDDD17 | Information Security, Second Course | 6* | A1X | 4 | E |
|
*The course is divided into several semesters and/or periods
|
||||||
TDDD25 | Distributed Systems | 6 | A1X | 2 | E |
|
TDDD38 | Advanced Programming in C++ | 6* | A1X | 2 | E |
|
*The course is divided into several semesters and/or periods
|
||||||
TDDD41 | Data Mining - Clustering and Association Analysis | 6 | A1X | 3 | E |
|
TDDD97 | Web Programming | 6 | G2X | 3 | E |
|
TDDE05 | AI Robotics | 6* | A1X | 4 | E |
|
*The course is divided into several semesters and/or periods
|
||||||
TDDE09 | Natural Language Processing | 6 | A1X | 2 | E |
|
TDTS07 | System Design and Methodology | 6 | A1X | 1 | E |
|
TDTS21 | Advanced Networking | 6* | A1X | 1 | E |
|
*The course is divided into several semesters and/or periods
The course is offered via PhD-course at IDA 2018. Contact examiner.
|
||||||
TNM048 | Information Visualisation | 6 | A1X | 3 | E |
|
TNM061 | 3-D Computer Graphics | 6* | G2X | 1 | E |
|
*The course is divided into several semesters and/or periods
|
||||||
TSBK35 | Audio and Image Compression | 6 | A1X | 4 | E |
|
Period 2 | ||||||
TAOP24 | Optimization, Advanced Course | 6 | G2X | 1 | E |
|
TATA54 | Number Theory | 6* | G2X | - | E |
|
*The course is divided into several semesters and/or periods
|
||||||
TATA64 | Graph Theory | 6* | A1X | 2 | E |
|
*The course is divided into several semesters and/or periods
The course is given every other year (odd years).
|
||||||
TDDC78 | Programming of Parallel Computers - Methods and Tools | 6 | A1X | 3 | E |
|
TDDD05 | Component Based Software | 6 | A1X | 1 | E |
|
TDDD17 | Information Security, Second Course | 6* | A1X | 4 | E |
|
*The course is divided into several semesters and/or periods
|
||||||
TDDD27 | Advanced Web Programming | 6 | A1X | 3 | E |
|
TDDD29 | IT-Project Management | 6 | A1X | 3 | E |
|
TDDD38 | Advanced Programming in C++ | 6* | A1X | - | E |
|
*The course is divided into several semesters and/or periods
|
||||||
TDDD48 | Automated Planning | 6 | A1X | 1 | E |
|
TDDE05 | AI Robotics | 6* | A1X | 4 | E |
|
*The course is divided into several semesters and/or periods
|
||||||
TDDE31 | Big Data Analytics | 6 | A1X | 1 | E |
|
TDTS21 | Advanced Networking | 6* | A1X | 1 | E |
|
*The course is divided into several semesters and/or periods
The course is offered via PhD-course at IDA 2018. Contact examiner.
|
||||||
TNM061 | 3-D Computer Graphics | 6* | G2X | 4 | E |
|
*The course is divided into several semesters and/or periods
|
||||||
TNM079 | Modelling and Animation | 6 | A1X | 2 | E |
|
TNM096 | Artificial Intelligence - Principles and Techniques | 6 | G2X | 1 | E |
|
TNM098 | Advanced Visual Data Analysis | 6 | A1X | 4 | E |
|
Course code | Course name | Credits | Level | Timetable module | ECV | |
---|---|---|---|---|---|---|
Period 1 | ||||||
TBMI26 | Neural Networks and Learning Systems | 6 | A1X | 2 | E |
|
TDDD41 | Data Mining - Clustering and Association Analysis | 6 | A1X | 3 | E |
|
TDDE05 | AI Robotics | 6* | A1X | 4 | E |
|
*The course is divided into several semesters and/or periods
|
||||||
TDDE09 | Natural Language Processing | 6 | A1X | 2 | E |
|
Period 2 | ||||||
TDDD48 | Automated Planning | 6 | A1X | 1 | E |
|
TDDE05 | AI Robotics | 6* | A1X | 4 | E |
|
*The course is divided into several semesters and/or periods
|
||||||
TDDE31 | Big Data Analytics | 6 | A1X | 1 | E |
|
TNM096 | Artificial Intelligence - Principles and Techniques | 6 | G2X | 1 | E |
|
Course code | Course name | Credits | Level | Timetable module | ECV | |
---|---|---|---|---|---|---|
Period 1 | ||||||
TDDD17 | Information Security, Second Course | 6* | A1X | 4 | E |
|
*The course is divided into several semesters and/or periods
|
||||||
TDDD25 | Distributed Systems | 6 | A1X | 2 | E |
|
TDTS21 | Advanced Networking | 6* | A1X | 1 | E |
|
*The course is divided into several semesters and/or periods
The course is offered via PhD-course at IDA 2018. Contact examiner.
|
||||||
Period 2 | ||||||
TDDD17 | Information Security, Second Course | 6* | A1X | 4 | E |
|
*The course is divided into several semesters and/or periods
|
||||||
TDTS21 | Advanced Networking | 6* | A1X | 1 | E |
|
*The course is divided into several semesters and/or periods
The course is offered via PhD-course at IDA 2018. Contact examiner.
|
Course code | Course name | Credits | Level | Timetable module | ECV | |
---|---|---|---|---|---|---|
Period 1 | ||||||
TDDB68 | Concurrent Programming and Operating Systems | 6 | G2X | 3 | E |
|
TDDD25 | Distributed Systems | 6 | A1X | 2 | E |
|
TDTS07 | System Design and Methodology | 6 | A1X | 1 | E |
|
Period 2 | ||||||
TDDC78 | Programming of Parallel Computers - Methods and Tools | 6 | A1X | 3 | E |
|
Course code | Course name | Credits | Level | Timetable module | ECV | |
---|---|---|---|---|---|---|
Period 1 | ||||||
TDDB68 | Concurrent Programming and Operating Systems | 6 | G2X | 3 | E |
|
TDDD25 | Distributed Systems | 6 | A1X | 2 | E |
|
TDDD38 | Advanced Programming in C++ | 6* | A1X | 2 | E |
|
*The course is divided into several semesters and/or periods
|
||||||
TDDD97 | Web Programming | 6 | G2X | 3 | E |
|
Period 2 | ||||||
TDDC78 | Programming of Parallel Computers - Methods and Tools | 6 | A1X | 3 | E |
|
TDDD05 | Component Based Software | 6 | A1X | 1 | E |
|
TDDD27 | Advanced Web Programming | 6 | A1X | 3 | E |
|
TDDD38 | Advanced Programming in C++ | 6* | A1X | - | E |
|
*The course is divided into several semesters and/or periods
|
Course code | Course name | Credits | Level | Timetable module | ECV | |
---|---|---|---|---|---|---|
Period 1 | ||||||
TNM048 | Information Visualisation | 6 | A1X | 3 | E |
|
TNM061 | 3-D Computer Graphics | 6* | G2X | 1 | E |
|
*The course is divided into several semesters and/or periods
|
||||||
TSBK35 | Audio and Image Compression | 6 | A1X | 4 | E |
|
Period 2 | ||||||
TDDD27 | Advanced Web Programming | 6 | A1X | 3 | E |
|
TNM061 | 3-D Computer Graphics | 6* | G2X | 4 | E |
|
*The course is divided into several semesters and/or periods
|
||||||
TNM079 | Modelling and Animation | 6 | A1X | 2 | E |
|
TNM096 | Artificial Intelligence - Principles and Techniques | 6 | G2X | 1 | E |
|
TNM098 | Advanced Visual Data Analysis | 6 | A1X | 4 | E |
|
Semester 3 Autumn 2018
Course code | Course name | Credits | Level | Timetable module | ECV | |
---|---|---|---|---|---|---|
Period 1 | ||||||
TATA55 | Abstract Algebra | 6* | G2X | 3 | E |
|
*The course is divided into several semesters and/or periods
|
||||||
TBMI19 | Medical Information Systems | 6* | A1X | 2 | E |
|
*The course is divided into several semesters and/or periods
|
||||||
TDDB84 | Design Patterns | 6 | A1X | 4 | E |
|
TDDC34 | Technical, Economic and Societal Evaluation of IT-products | 6 | A1X | 3 | E |
|
TDDC88 | Software Engineering | 12* | A1X | 1 | E |
|
*The course is divided into several semesters and/or periods
|
||||||
TDDD04 | Software Testing | 6 | A1X | 2 | E |
|
TDDD08 | Logic Programming | 6 | A1X | 4 | E |
|
TDDD23 | Design and Programming of Computer Games | 6 | A1X | 2 | E |
|
TDDD38 | Advanced Programming in C++ | 6* | A1X | 2 | E |
|
*The course is divided into several semesters and/or periods
|
||||||
TDDD43 | Advanced Data Models and Databases | 6* | A1X | 2 | E |
|
*The course is divided into several semesters and/or periods
|
||||||
TDDE19 | Advanced Project Course - AI and Machine Learning | 6* | A1F | 4 | E |
|
*The course is divided into several semesters and/or periods
|
||||||
TDDE21 | Advanced Project Course: Secure Distributed and Embedded Systems | 6* | A1X | 4 | E |
|
*The course is divided into several semesters and/or periods
|
||||||
TDTS06 | Computer Networks | 6 | G2X | 1 | E |
|
TNCG15 | Advanced Global Illumination and Rendering | 6 | A1X | 4 | E |
|
TNM067 | Scientific Visualization | 6 | A1X | 3 | E |
|
TNM095 | Artificial Intelligence for Interactive Media | 6 | A1X | 2 | E |
|
TSEA26 | Design of Embedded DSP Processor | 6 | A1X | 1 | E |
|
TSIN01 | Information Networks | 6 | A1X | 3 | E |
|
TSIT03 | Cryptology | 6 | A1X | 2 | E |
|
TSKS02 | Telecommunication | 6* | G2X | 1 | E |
|
*The course is divided into several semesters and/or periods
|
||||||
TSKS12 | Modern Channel Coding, Inference and Learning | 6 | A1X | 1 | E |
|
TSTE86 | Digital Integrated Circuits | 6 | A1X | 2 | E |
|
Period 2 | ||||||
TDDD89 | Scientific Method | 6 | A1X | 3 | C |
|
TAMS22 | Probability Theory and Bayesian Networks | 6 | A1X | 1 | E |
|
The coure is given every second year, even years. The course was cancelled 2018.
|
||||||
TATA55 | Abstract Algebra | 6* | G2X | 3 | E |
|
*The course is divided into several semesters and/or periods
|
||||||
TBMI19 | Medical Information Systems | 6* | A1X | 3 | E |
|
*The course is divided into several semesters and/or periods
|
||||||
TDDB44 | Compiler Construction | 6 | A1X | 1 | E |
|
TDDC88 | Software Engineering | 12* | A1X | 1 | E |
|
*The course is divided into several semesters and/or periods
|
||||||
TDDC90 | Software Security | 6 | A1X | 1 | E |
|
TDDD38 | Advanced Programming in C++ | 6* | A1X | - | E |
|
*The course is divided into several semesters and/or periods
|
||||||
TDDD43 | Advanced Data Models and Databases | 6* | A1X | 2 | E |
|
*The course is divided into several semesters and/or periods
|
||||||
TDDD56 | Multicore and GPU Programming | 6 | A1X | 2 | E |
|
TDDE13 | Multi Agent Systems | 6 | A1X | 1 | E |
|
The course is cancelled 2018.
|
||||||
TDDE16 | Text Mining | 6 | A1X | 2 | E |
|
TDDE19 | Advanced Project Course - AI and Machine Learning | 6* | A1F | 4 | E |
|
*The course is divided into several semesters and/or periods
|
||||||
TDDE21 | Advanced Project Course: Secure Distributed and Embedded Systems | 6* | A1X | 4 | E |
|
*The course is divided into several semesters and/or periods
|
||||||
TNM084 | Procedural Methods for Images | 6 | A1X | 4 | E |
|
TNM086 | Virtual Reality Techniques | 6 | A1X | 2 | E |
|
TSIN02 | Internetworking | 6 | A1X | 1 | E |
|
TSKS02 | Telecommunication | 6* | G2X | 2 | E |
|
*The course is divided into several semesters and/or periods
|
Course code | Course name | Credits | Level | Timetable module | ECV | |
---|---|---|---|---|---|---|
Period 1 | ||||||
TDDD08 | Logic Programming | 6 | A1X | 4 | E |
|
TDDD23 | Design and Programming of Computer Games | 6 | A1X | 2 | E |
|
TDDD43 | Advanced Data Models and Databases | 6* | A1X | 2 | E |
|
*The course is divided into several semesters and/or periods
|
||||||
TDDE19 | Advanced Project Course - AI and Machine Learning | 6* | A1F | 4 | E |
|
*The course is divided into several semesters and/or periods
|
||||||
Period 2 | ||||||
TDDD43 | Advanced Data Models and Databases | 6* | A1X | 2 | E |
|
*The course is divided into several semesters and/or periods
|
||||||
TDDE13 | Multi Agent Systems | 6 | A1X | 1 | E |
|
The course is cancelled 2018.
|
||||||
TDDE16 | Text Mining | 6 | A1X | 2 | E |
|
TDDE19 | Advanced Project Course - AI and Machine Learning | 6* | A1F | 4 | E |
|
*The course is divided into several semesters and/or periods
|
Course code | Course name | Credits | Level | Timetable module | ECV | |
---|---|---|---|---|---|---|
Period 1 | ||||||
TDDE21 | Advanced Project Course: Secure Distributed and Embedded Systems | 6* | A1X | 4 | E |
|
*The course is divided into several semesters and/or periods
|
||||||
TDTS06 | Computer Networks | 6 | G2X | 1 | E |
|
TSIN01 | Information Networks | 6 | A1X | 3 | E |
|
TSIT03 | Cryptology | 6 | A1X | 2 | E |
|
TSKS02 | Telecommunication | 6* | G2X | 1 | E |
|
*The course is divided into several semesters and/or periods
|
||||||
Period 2 | ||||||
TDDC90 | Software Security | 6 | A1X | 1 | E |
|
TDDE21 | Advanced Project Course: Secure Distributed and Embedded Systems | 6* | A1X | 4 | E |
|
*The course is divided into several semesters and/or periods
|
||||||
TSIN02 | Internetworking | 6 | A1X | 1 | E |
|
TSKS02 | Telecommunication | 6* | G2X | 2 | E |
|
*The course is divided into several semesters and/or periods
|
Course code | Course name | Credits | Level | Timetable module | ECV | |
---|---|---|---|---|---|---|
Period 1 | ||||||
TDDE21 | Advanced Project Course: Secure Distributed and Embedded Systems | 6* | A1X | 4 | E |
|
*The course is divided into several semesters and/or periods
|
||||||
TSEA26 | Design of Embedded DSP Processor | 6 | A1X | 1 | E |
|
TSKS02 | Telecommunication | 6* | G2X | 1 | E |
|
*The course is divided into several semesters and/or periods
|
||||||
TSTE86 | Digital Integrated Circuits | 6 | A1X | 2 | E |
|
Period 2 | ||||||
TDDD56 | Multicore and GPU Programming | 6 | A1X | 2 | E |
|
TDDE21 | Advanced Project Course: Secure Distributed and Embedded Systems | 6* | A1X | 4 | E |
|
*The course is divided into several semesters and/or periods
|
||||||
TSKS02 | Telecommunication | 6* | G2X | 2 | E |
|
*The course is divided into several semesters and/or periods
|
Course code | Course name | Credits | Level | Timetable module | ECV | |
---|---|---|---|---|---|---|
Period 1 | ||||||
TDDB84 | Design Patterns | 6 | A1X | 4 | E |
|
TDDC88 | Software Engineering | 12* | A1X | 1 | E |
|
*The course is divided into several semesters and/or periods
|
||||||
TDDD04 | Software Testing | 6 | A1X | 2 | E |
|
TDDD08 | Logic Programming | 6 | A1X | 4 | E |
|
Period 2 | ||||||
TDDB44 | Compiler Construction | 6 | A1X | 1 | E |
|
TDDC88 | Software Engineering | 12* | A1X | 1 | E |
|
*The course is divided into several semesters and/or periods
|
||||||
TDDC90 | Software Security | 6 | A1X | 1 | E |
|
TDDD56 | Multicore and GPU Programming | 6 | A1X | 2 | E |
|
Course code | Course name | Credits | Level | Timetable module | ECV | |
---|---|---|---|---|---|---|
Period 1 | ||||||
TNCG15 | Advanced Global Illumination and Rendering | 6 | A1X | 4 | E |
|
TNM067 | Scientific Visualization | 6 | A1X | 3 | E |
|
TNM095 | Artificial Intelligence for Interactive Media | 6 | A1X | 2 | E |
|
Period 2 | ||||||
TNM084 | Procedural Methods for Images | 6 | A1X | 4 | E |
|
TNM086 | Virtual Reality Techniques | 6 | A1X | 2 | E |
|
Semester 4 Spring 2019
Course code | Course name | Credits | Level | Timetable module | ECV | |
---|---|---|---|---|---|---|
Period 1 | ||||||
TQXX30 | Degree project - Master’s Thesis | 30* | A1X | - | C |
|
*The course is divided into several semesters and/or periods
|
||||||
Period 2 | ||||||
TQXX30 | Degree project - Master’s Thesis | 30* | A1X | - | C |
|
*The course is divided into several semesters and/or periods
|